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Editor-in-chief
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.
IJMLC 2013 Vol.3(6): 486-489 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2013.V3.365

Research on Land Warfare Simulation Framework Based on Multi-Agent

Gan Bin and Hao Jiaxin
Abstract—Networking-centric land warfare simulation is an evolving complex adaptive system that represents the superior trend of the land warfare demonstration. As a new complex combat system of systems, Agent-based modeling and simulation (ABMS) proves an effective approach to explore the new operational characteristics. In this paper, we discuss the background to the agent-based modeling and simulation and how it work, and then we use eight indicators to model the different types of the land warfare agent and discuss the engagement rules for the land warfare agent. We also present a discussion of the simulation framework based on multi-agent. A prototype system MABLWS (Multi-agent based land warfare simulation) was accomplished on the basis of methods before-mentioned. The simulation results based on a typical scenario show that the agent-based method would have favorable future in the field of research on land warfare simulation.

Index Terms—Land warfare, multi-agent, simulation framework, network-centric warfare.

The authors are with Science and Technology on Complex Systems Simulation Laboratory, Beijing, China (email: colebin@aliyun.com, haojiaxin@126.com).

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Cite:Gan Bin and Hao Jiaxin, "Research on Land Warfare Simulation Framework Based on Multi-Agent," International Journal of Machine Learning and Computing vol.3, no. 6, pp. 486-489, 2013.

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